Patterns of Success: A Study of Women Secondary School Principals’ Self-Perceptions of their Career Journey in British Columbia
Bibliographic record
Abstract
As women secondary school principals navigate their career paths and manage their work-life roles, they encounter varied obstacles and barriers requiring them to shift, pause, restart and maneuver to reach their goals. The purpose of this qualitative study is to capture an understanding of how women secondary school principals in British Columbia, Canada have navigated the paths to their current roles. The study is important because there is a dearth of information regarding the experiences of women secondary school principals in Canada, and this interpretive interview study positively contributes to the literature base. The data collected was through semi-structured interviews with eleven women secondary school principals. Through open and axial coding of the interview data, common themes emerged regarding career path experiences: career goals and decisions, supports and mentors, gendered expectations, and factors related to being a woman. Findings show supporters, mentors and networks are integral as women strive for and become secondary school principals. Additionally, the findings indicate relationships at home and work are key factors in the strategies women principals utilize to facilitate the management of their work and life roles. This study also highlights the systemic barriers mired in white male dominated expectations the participants were required to traverse to meet their own needs and seek the supports they required to reach their goals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".